Output details
15 - General Engineering
University of Cambridge
Article title
Structured Log Linear Models for Noise Robust Speech Recognition
Type
D - Journal article
Title of journal
IEEE Signal Processing Letters
Article number
-
Volume number
17
Issue number
11
First page of article
945
ISSN of journal
1070-9908
Year of publication
2010
URL
-
Number of additional authors
2
Additional information
This paper formed the basis for a number of additional papers including a paper short-listed for the best student paper award at the IEEE conference on Acoustics, Speech and Signal Processing 2011, and an article in IEEE Signal Processing Magazine "Structured Discriminative Models for Speech Recognition", November 2012. The work, forms in part the basis of an EPSRC funded project "Generative Kernels and Score-Spaces for Classification of Speech", EP/I006583/1. This project aims to combine discriminative and generative models together to improve the performance of speech recognition systems in highly challenging environments, such as in the presence of background noise.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
